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Springer Bayesian Network Modeling of Corrosion - Springer

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Description

Bayesian Network Modeling of Corrosion brings together expert knowledge on applying Bayesian Networks to corrosion management and risk assessment. This comprehensive book explains how probability distributions are developed for corroding systems and demonstrates how Bayesian Networks provide an ideal framework for managing corrosion risk across complex engineering structures. The contributors address the unpredictable nature of corrosion, which can remain dormant for extended periods before developing rapidly, and examine non-uniform failure modes including pitting and stress corrosion cracking that cannot be resolved through material thickness alone. Written by specialists with practical experience deploying these probabilistic methods, the book equips engineers and materials scientists with advanced analytical tools for predicting corrosion behaviour, assessing structural integrity, and making informed decisions about maintenance and asset protection in demanding industrial environments.

Key Features

Bayesian Network methods applied specifically to corrosion modelling and risk management across engineering systems.

Expert contributions on developing probability distributions for corroding systems and predicting failure modes.

Addresses complex corrosion phenomena including pitting and stress corrosion cracking in structural applications.

Published by Springer, a leading academic publisher in engineering and materials science literature.

Practical guidance for engineers implementing probabilistic analysis in corrosion management programmes.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 June 2024
Listed Since
08 February 2024

Barcode

No barcode data available

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